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Towards Epistemic-Doxastic Planning with Observation and Revision

AAAI 2024 · Multi-agent systems and games › Human-AI and goal-conditioned · approach: Boundedly rational agent modeling · 2 citations (OpenAlex)

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Proposes a repetition-free epistemic-doxastic action language (true vs mere belief atoms) that handles belief revision from observation, reduces reasoning to propositional logic, and yields PSPACE-complete planning for false-belief tasks.

Problem

Epistemic planning with observations in the presence of false beliefs, which requires belief revision; existing DEL-based planning is undecidable and tractable fragments disallow uncertainty-increasing actions.

Approach

Replace knowledge/belief operators with repetition-free atoms TBA_i (true belief) and MBA_i (mere belief), identify observation with knowledge about an atom, and define ontic and epistemic actions (start/stop observing) whose indirect effects are derived from agents' observational status, so belief revision needs no plausibility orderings.

Key results

Surprising findings

Limitations

Experimental setup

Baselines: mA* Bolander edge-conditioned action language Lorini and Romero belief base approach Wan et al. KD45 update and revision planning

Builds on: dynamic epistemic logic Herzig and Perrotin true/mere belief logic Herzig, Lorini and Maffre knowing-whether atoms mA* Bolander second-order false-belief action language

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